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本文引用的文献

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Deep learning-based single-shot prediction of differential effects of anti-VEGF treatment in patients with diabetic macular edema.基于深度学习的糖尿病性黄斑水肿患者抗VEGF治疗差异效应的单次预测
Biomed Opt Express. 2020 Jan 28;11(2):1139-1152. doi: 10.1364/BOE.379150. eCollection 2020 Feb 1.
2
Hyperreflective Foci in the Outer Retinal Layers as a Predictor of the Functional Efficacy of Ranibizumab for Diabetic Macular Edema.外视网膜层的高反射焦点可预测雷珠单抗治疗糖尿病性黄斑水肿的功能疗效。
Sci Rep. 2020 Jan 21;10(1):873. doi: 10.1038/s41598-020-57646-y.
3
Usefulness of Liquid Biopsy Biomarkers from Aqueous Humor in Predicting Anti-VEGF Response in Diabetic Macular Edema: Results of a Pilot Study.房水液体活检生物标志物在预测糖尿病性黄斑水肿抗VEGF治疗反应中的应用价值:一项初步研究结果
J Clin Med. 2019 Nov 2;8(11):1841. doi: 10.3390/jcm8111841.
4
Angiopoietin-like 4 binds neuropilins and cooperates with VEGF to induce diabetic macular edema.血管生成素样蛋白 4 结合神经纤毛蛋白并与 VEGF 协同诱导糖尿病性黄斑水肿。
J Clin Invest. 2019 Nov 1;129(11):4593-4608. doi: 10.1172/JCI120879.
5
Higher-Order Assessment of OCT in Diabetic Macular Edema from the VISTA Study: Ellipsoid Zone Dynamics and the Retinal Fluid Index.VISTA研究中糖尿病性黄斑水肿的光学相干断层扫描高阶评估:椭圆体带动态变化与视网膜液体指数
Ophthalmol Retina. 2019 Dec;3(12):1056-1066. doi: 10.1016/j.oret.2019.06.010. Epub 2019 Jul 6.
6
Aqueous Humor Cytokines and Long-Term Response to Anti-Vascular Endothelial Growth Factor Therapy in Diabetic Macular Edema.房水细胞因子与糖尿病黄斑水肿对抗血管内皮生长因子治疗的长期反应。
Am J Ophthalmol. 2019 Oct;206:176-183. doi: 10.1016/j.ajo.2019.04.002. Epub 2019 Apr 6.
7
Loss of Platelet Endothelial Cell Adhesion Molecule-1 (PECAM-1) in the Diabetic Retina: Role of Matrix Metalloproteinases.血小板内皮细胞黏附分子-1(PECAM-1)在糖尿病视网膜中的缺失:基质金属蛋白酶的作用。
Invest Ophthalmol Vis Sci. 2019 Feb 1;60(2):748-760. doi: 10.1167/iovs.18-25068.
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Factors Associated With Visual Acuity and Central Subfield Thickness Changes When Treating Diabetic Macular Edema With Anti-Vascular Endothelial Growth Factor Therapy: An Exploratory Analysis of the Protocol T Randomized Clinical Trial.抗血管内皮生长因子治疗糖尿病黄斑水肿时与视力和中央视网膜神经纤维层厚度变化相关的因素:Protocol T 随机临床试验的探索性分析。
JAMA Ophthalmol. 2019 Apr 1;137(4):382-389. doi: 10.1001/jamaophthalmol.2018.6786.
9
Aqueous humor cytokine levels in patients with diabetic macular edema refractory to anti-VEGF treatment.抗血管内皮生长因子治疗抵抗的糖尿病黄斑水肿患者房水中细胞因子水平。
PLoS One. 2018 Sep 11;13(9):e0203408. doi: 10.1371/journal.pone.0203408. eCollection 2018.
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Efficacy of Ranibizumab in Eyes with Diabetic Macular Edema and Macular Nonperfusion in RIDE and RISE.雷珠单抗治疗糖尿病性黄斑水肿及黄斑无灌注的疗效:随机、对照、多中心 RIDE 和 RISE 研究
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眼内液细胞因子表达和高阶 OCT 生物标志物:在 IMAGINE DME 研究中评估解剖-生物标志物联系。

Aqueous Cytokine Expression and Higher Order OCT Biomarkers: Assessment of the Anatomic-Biologic Bridge in the IMAGINE DME Study.

机构信息

Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advanced Imaging Research, Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, USA.

Retina Consultants of Houston, Retina Consultants of America, Houston, Texas, USA; Blanton Eye Institute, Houston Methodist Hospital, Houston, Texas, USA.

出版信息

Am J Ophthalmol. 2021 Feb;222:328-339. doi: 10.1016/j.ajo.2020.08.047. Epub 2020 Sep 5.

DOI:10.1016/j.ajo.2020.08.047
PMID:32896498
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9719825/
Abstract

PURPOSE

To identify biomarkers for predicting response to anti-vascular endothelial growth factor (VEGF) therapy in diabetic macular edema (DME) and evaluate any links between cytokine expression and optical coherence tomography (OCT) phenotype.

DESIGN

The IMAGINE is a post hoc image analysis and cytokine expression assessment of the Efficacy & Safety Trial of Intravitreal Injections Combined With PRP for CSME Secondary to Diabetes Mellitus (DAVE) randomized clinical trial.

METHODS

Subjects were categorized as anatomical responders or nonresponders, and within the responder group as rebounders and non-rebounders based on quantitative, longitudinal OCT criteria. Retinal layer and fluid features were extracted using an OCT machine-learning augmented segmentation platform. Responders were further sub-classified by rapidity of response. Aqueous concentrations of 54 cytokines were measured at multiple timepoints. Expression was compared between responder groups and correlated with OCT imaging biomarkers.

RESULTS

Of the 24 eyes studied, 79% were anatomical responders with 38% super responders, 17% early responders, and 25% slow responders. Twenty-one percent were nonresponders. Super responders had increased baseline vascular endothelial growth factor (VEGF) (880.0 pg/mL vs 245.4 pg/mL; P = .012) and decreased monocyte chemotactic protein-1 (MCP-1) (513.3 pg/mL vs 809.5 pg/mL; P = .0.042) concentrations compared with nonresponders. Interleukin-6 (-24.9 pg/mL vs 442.8 pg/mL; P = .032) concentrations increased among nonresponders during therapy. VEGF concentrations correlated with central subfield thickness (r = 0.49; P = .01). Panmacular retinal volume correlated with increased interleuckin-6 (r = 0.47; P = .02) and decreased MCP-1 (r = -0.45; P = .03). Matrix metallopeptidase-1 correlated with subretinal fluid volume (r = 0.50; P = .01).

CONCLUSIONS

OCT imaging biomarkers correlated with both intraocular cytokines and responsiveness to anti-VEGF therapy, which indicated a possible link to underlying pathways and their relevance to DME prognosis. Baseline concentrations of VEGF and MCP-1 are associated with anatomic response to anti-VEGF therapy.

摘要

目的

鉴定预测糖尿病性黄斑水肿(DME)对抗血管内皮生长因子(VEGF)治疗反应的生物标志物,并评估细胞因子表达与光相干断层扫描(OCT)表型之间的任何关联。

设计

IMAGINE 是一项事后图像分析和细胞因子表达评估,评估了玻璃体内注射联合 PRP 治疗糖尿病性黄斑水肿继发的中心性浆液性脉络膜视网膜病变(CSME)的疗效和安全性试验(DAVE)的随机临床试验。

方法

根据定量、纵向 OCT 标准,将受试者分为解剖学应答者和非应答者,在应答者组中进一步分为反弹者和非反弹者。使用 OCT 机器增强分割平台提取视网膜层和液体积聚特征。根据应答的速度,进一步对应答者进行亚分类。在多个时间点测量 54 种细胞因子的水相浓度。比较应答组之间的表达,并与 OCT 成像生物标志物相关联。

结果

在研究的 24 只眼中,79%为解剖学应答者,其中 38%为超应答者,17%为早期应答者,25%为缓慢应答者。21%为无应答者。与无应答者相比,超应答者的基线血管内皮生长因子(VEGF)水平升高(880.0 pg/mL 比 245.4 pg/mL;P =.012),单核细胞趋化蛋白-1(MCP-1)水平降低(513.3 pg/mL 比 809.5 pg/mL;P =.042)。在治疗期间,非应答者的白细胞介素-6(IL-6)浓度增加(-24.9 pg/mL 比 442.8 pg/mL;P =.032)。VEGF 浓度与中央视网膜厚度相关(r = 0.49;P =.01)。全视网膜容积与白细胞介素-6 增加相关(r = 0.47;P =.02),与 MCP-1 降低相关(r = -0.45;P =.03)。基质金属蛋白酶-1 与视网膜下液体积相关(r = 0.50;P =.01)。

结论

OCT 成像生物标志物与眼内细胞因子和对抗 VEGF 治疗的反应均相关,这表明与潜在途径之间存在可能的联系及其与 DME 预后的相关性。VEGF 和 MCP-1 的基线浓度与抗 VEGF 治疗的解剖学反应相关。